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iamdata

IAM data for AWS actions, resources, and conditions based on IAM policy documents. Checked for updates daily.

iamdata v0.1.202608141 165.8K downloads/30d#10,516 on PyPI9
Permissive license Active released

What it is and what it does

iamdata is a Python library that embeds AWS IAM service metadata—including actions, resources, and condition keys—directly in the package. It lets you query this data programmatically without making external API calls. The package is updated daily by checking against AWS IAM documentation, so the data stays current as AWS services and permissions evolve.

You use it by instantiating an IAMData object and then calling methods on its services, actions, resources, and conditions attributes to look up details: service names from keys, all actions for a service, action metadata like resource types and condition keys, resource type definitions, and condition key specifications. It's designed for developers building IAM policy tools, permission auditors, or access-control frameworks who need reliable, offline access to the AWS permission model.

Use it for:

  • Build an IAM policy validator that checks whether actions and resources in a policy document actually exist in AWS.
  • Generate documentation or reference tables of all AWS IAM actions, resources, and conditions for a given service.
  • Implement an access-control policy builder that autocompletes or validates IAM action and resource names.
  • Audit existing IAM policies to map actions to their required resource types and condition keys.
  • Create a permission matrix or comparison tool showing which actions are available across different AWS services.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides programmatic access to AWS IAM service definitions—actions, resources, and condition keys—with data embedded in the package and updated daily against AWS documentation.

Yes. The package has zero dependencies, low install friction, active maintenance with daily data updates, and a permissive MIT license. It fills a concrete need for offline IAM metadata lookup without external API calls. Use it if you're building IAM tooling, policy validators, or permission auditors.

Install

iamdata on PyPI

pip

pip install iamdata

uv

uv add iamdata

poetry

poetry add iamdata

Installing iamdata

Before you install

Low install friction with no runtime dependencies. Active maintenance with daily data updates and a recent commit history.

License in practice

Licensed under MIT (permissive), allowing use in proprietary and open-source projects without significant restrictions.

Quickstart

pip install iamdata

from iamdata import IAMData

iam_data = IAMData()
for service_key in iam_data.services.get_service_keys():
    actions = iam_data.actions.get_actions_for_service(service_key)
    print(f"{service_key}: {len(actions)} actions")

Verify before relying

  • Whether the daily update mechanism is automatic or requires manual intervention to refresh the package.
  • Performance characteristics when iterating over all services, actions, and resources in a single session.

Package facts

License not declared (permissive)
Python support supports the current Python release (>=3.7)
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance actively maintained — 0 days since the last release
Last repo commit
First released
Downloads 165,772/month — #10,516 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: iamdata-0.1.202608141-py3-none-any.whl

License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Tags

AWS IAM data lookupIAM actions resources conditionsAWS service permissions referenceIAM policy data libraryAWS IAM metadataservice action enumeration
aws-iampolicy-referencemetadata-lookup

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